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ORCIDIvan Izonin
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2020 – today
- 2024
[j24]Akshay Jadhav, Shishir Kumar Shandilya, Ivan Izonin, Roman Muzyka
:
Multi-Step Dynamic Ensemble Selection to Estimate Software Effort. Appl. Artif. Intell. 38(1) (2024)- [j23]Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya:
Quality and Security of Critical Infrastructure Systems. Big Data Cogn. Comput. 8(1): 10 (2024) - [j22]Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, Ivan Izonin:
Synthesis of Convolutional Neural Network architectures for biomedical image classification. Biomed. Signal Process. Control. 95: 106325 (2024) - [j21]Ivan Izonin, Roman Muzyka, Roman Tkachenko, Ivanna Dronyuk, Kyrylo Yemets, Stergios Aristoteles Mitoulis:
A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis. Sensors 24(15): 4762 (2024) - [j20]Tetiana Hovorushchenko, Ivan Izonin, Hakan Kutucu:
Advancements in AI-Based Information Technologies: Solutions for Quality and Security. Syst. 12(2): 58 (2024) - [c37]Olha Chala, Ivan Izonin, Iryna Pliss, Yevgeniy V. Bodyanskiy:
Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. ACIT 2024: 140-143 - [c36]Ivan Izonin, José M. Peña, Antonio LaTorre:
Artificial Intelligence for the Future of Construction - abstract. SMARTINDUSTRY 2024 - [c35]Ivan Izonin, Ali Gamra, Oleslav Boychuk, Jelena Ninic, Roman Tkachenko, Stergios Aristoteles Mitoulis:
PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage. SMARTINDUSTRY 2024: 32-46 - [e8]Natalia Shakhovska, Michal Kovác, Ivan Izonin, Stéphane Chrétien:
Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023. CEUR Workshop Proceedings 3609, CEUR-WS.org 2024 [contents] - 2023
- [j19]Akshay Jadhav, Shishir Kumar Shandilya, Ivan Izonin, Michal Gregus:
Effective Software Effort Estimation Leveraging Machine Learning for Digital Transformation. IEEE Access 11: 83523-83536 (2023) - [j18]Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin:
Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network. Big Data Min. Anal. 6(1): 44-54 (2023) - [j17]Ivan Izonin, Hakan Kutucu, Krishna Kant Singh:
Smart systems and data-driven services in healthcare. Comput. Biol. Medicine 158: 106074 (2023) - [j16]Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, Myroslav Havryliuk, Chandrasekhar Rohith Bhat:
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. Entropy 25(2): 245 (2023) - [j15]Viacheslav Kovtun, Ivan Izonin, Michal Gregus:
Mathematical models of the information interaction process in 5G-IoT ecosystem: Different functional scenarios. ICT Express 9(2): 264-269 (2023) - [j14]Jaroslaw Bilski, Jacek Smolag, Bartosz Kowalczyk, Konrad Grzanek, Ivan Izonin:
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. J. Artif. Intell. Soft Comput. Res. 13(2): 45-61 (2023) - [j13]Ivan Izonin, Tetiana Hovorushchenko, Peter T. Popov:
Editorial. J. Cyber Secur. Mobil. 12(3): v-x (2023) - [j12]Oleh Berezsky, Oleh Pitsun, Grygoriy Melnyk, Tamara Datsko, Ivan Izonin, Bohdan Derysh:
An Approach toward Automatic Specifics Diagnosis of Breast Cancer Based on an Immunohistochemical Image. J. Imaging 9(1): 12 (2023) - [j11]Ivan Izonin, Patrizia Ribino, Ali Ebrahimnejad, Mario Quinde:
Smart technologies and its application for medical/healthcare services. J. Reliab. Intell. Environ. 9(1): 1-3 (2023) - [c34]Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky, Iurii Krak, Maksym Oliinyk:
An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. CSIT 2023: 1-4 - [c33]Ivan Izonin, Yaroslav Tolstyak, Veronika Kachmar, Roman Tkachenko, Mariya Rashkevych, Valentyna Chopyak:
A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation. IDDM 2023: 322-331 - 2022
- [j10]Viacheslav Kovtun, Ivan Izonin, Michal Gregus:
Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics. IEEE Access 10: 31494-31502 (2022) - [j9]Akshara Makrariya, Shishir Kumar Shandilya, Smita Shandilya, Michal Gregus, Ivan Izonin, Rahul Makrariya:
Mathematical Simulation of Behavior of Female Breast Consisting Malignant Tumor During Hormonal Changes. IEEE Access 10: 91346-91355 (2022) - [j8]Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya:
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets. Mach. Learn. Knowl. Extr. 4(4): 1088-1106 (2022) - [j7]Ivan Izonin, Stéphane Chrétien, Ali Ebrahimnejad:
Special Issue on Safe and Reliable AI for Smart Sustainable Cities. Symmetry 14(2): 397 (2022) - [c32]Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss:
Towards Data Normalization Task for the Efficient Mining of Medical Data. ACIT 2022: 480-484 - [c31]Ivan Izonin, Roman Tkachenko, Michal Gregus:
I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. DEXA (2) 2022: 147-157 - [c30]Yevgeniy V. Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov:
Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. IDDM 2022: 1-8 - [e7]Natalia Shakhovska, Stéphane Chrétien, Ivan Izonin, Jaime Campos:
Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022. CEUR Workshop Proceedings 3302, CEUR-WS.org 2022 [contents] - [d1]Shishir Kumar Shandilya, Chirag Ganguli, Ivan Izonin, Atulya Kumar Nagar:
Cyber Attack Evaluation Dataset for Deep Packet Inspection and Analysis. IEEE DataPort, 2022
- 2021
- [j6]Nataliya Shakhovska, Ivan Izonin, Nataliia Melnykova:
The Hierarchical Classifier for COVID-19 Resistance Evaluation. Data 6(1): 6 (2021) - [j5]Krishna Kant Singh, Ahmed A. Elngar, Ivan Izonin:
Guest editorial: Reliability and usability of machine learning and IoT for urban intelligence. J. Reliab. Intell. Environ. 7(1): 1-2 (2021) - [j4]Viacheslav Kovtun, Ivan Izonin:
Study of the Operation Process of the E-Commerce Oriented Ecosystem of 5Ge Base Station, Which Supports the Functioning of Independent Virtual Network Segments. J. Theor. Appl. Electron. Commer. Res. 16(7): 2883-2897 (2021) - [j3]Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska:
The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach. Symmetry 13(4): 612 (2021) - [c29]Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko:
A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. ANT/EDI40 2021: 242-249 - [c28]Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Nataliia Lotoshynska:
Input Doubling Method based on SVR with RBF kernel in Clinical Practice: Focus on Small Data. ANT/EDI40 2021: 606-613 - [c27]Ivan Izonin, Roman Tkachenko:
An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. EUSPN/ICTH 2021: 724-729 - [c26]Ivan Izonin, Roman Tkachenko, Michal Gregus, Liliia Ryvak, Volodymyr Kulyk, Valentyna Chopyak:
Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task. FNC/MobiSPC 2021: 230-237 - [c25]Yevgen Martyn, Solomiya Liaskovska, Michal Gregus, Ivan Izonin, Oksana Velyka:
Optimization of Technological's Processes Industry 4.0 Parameters for Details Manufacturing via Stamping: Rules of Queuing Systems. FNC/MobiSPC 2021: 290-295 - [c24]Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk:
Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM 2021: 223-232 - [c23]Roman Tkachenko, Ivan Izonin, Pavlo Tkachenko:
Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. ISDMCI 2021: 685-695 - [e6]Nataliya Shakhovska, Addisson Salazar, Ivan Izonin, Jaime Campos:
Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021. CEUR Workshop Proceedings 3038, CEUR-WS.org 2021 [contents] - 2020
- [j2]Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub:
An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble. Sensors 20(9): 2625 (2020) - [c22]Ivan Izonin, Igor Nevliudov, Yurii Romashov:
Computational Models and Methods for Automated Risks Assessments in Deterministic Stationary Systems. CITRisk 2020: 27-43 - [c21]Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk:
Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. IDDM 2020: 209-218 - [c20]Tatiana Neskorodieva, Eugene Fedorov, Ivan Izonin:
Forecast Method for Audit Data Analysis by Modified Liquid State Machine. IntelITSIS 2020: 25-35 - [c19]Tetiana Kysil, Ivan Izonin, Olha Hovorushchenko:
Information Technology for Choosing the Trademark Considering the Attitude of Consumer (short paper). IntelITSIS 2020: 133-140 - [e5]Natalia Kryvinska, Ivan Izonin, Michal Gregus, Aneta Poniszewska-Maranda, Ivanna Dronyuk:
Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), Lviv, Ukraine, December 23-25, 2019. CEUR Workshop Proceedings 2533, CEUR-WS.org 2020 [contents] - [e4]Nataliya Shakhovska, Jaime Campos, Nataliia Melnykova, Ivan Izonin:
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19 - 21, 2020. CEUR Workshop Proceedings 2753, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c18]Anatoliy Kovalchuk, Ivan Izonin, Christine Strauss, Mariia Podavalkina, Natalia Lotoshynska, Nataliya Kustra:
Image Encryption and Decryption Schemes Using Linear and Quadratic Fractal Algorithms and Their Systems. DCSMart 2019: 139-150 - [c17]Anatoliy Kovalchuk, Ivan Izonin, Mihal Gregush, Natalia Lotoshynska:
An Approach Towards Image Encryption and Decryption using Quaternary Fractional-Linear Operations. EUSPN/ICTH 2019: 491-496 - [c16]Anatoliy Kovalchuk, Ivan Izonin, Mihal Gregush, Natalya Kustra:
Information Protection Service using Topological Image Coverage. EUSPN/ICTH 2019: 503-508 - [c15]Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Khrystyna Zub, Oleksandra Mishchuk, Taras Lisovych:
Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure. EUSPN/ICTH 2019: 521-526 - [c14]Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi:
An Extended-Input GRNN and its Application. EUSPN/ICTH 2019: 578-583 - [c13]Anatoliy Kovalchuk, Ivan Izonin, Mihal Gregush, Oleh Riznyk:
An Efficient Image Encryption Scheme using Projective Transformations. EUSPN/ICTH 2019: 584-589 - [c12]Ivan Izonin, Natalia Kryvinska, Pavlo Vitynskyi, Roman Tkachenko, Khrystyna Zub:
GRNN Approach Towards Missing Data Recovery Between IoT Systems. INCoS 2019: 445-453 - [c11]Roman Tkachenko, Ivan Izonin, Michal Gregus, Pavlo Tkachenko, Ivanna Dronyuk:
Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance. Innovate-Data 2019: 121-132 - [c10]Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus:
Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. IWANN (1) 2019: 467-479 - [c9]Ivan Izonin, Michal Gregus, Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash:
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset. IWANN (1) 2019: 781-793 - [c8]Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Natalia Kryvinska, Yurii Tsymbal:
Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks. MobiWIS 2019: 267-277 - [e3]David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva:
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CEUR Workshop Proceedings 2353, CEUR-WS.org 2019 [contents] - [e2]Nataliya Shakhovska, Ivan Izonin, Sergio Montenegro, Yannick Estève, Jaime Campos, Natalia Kryvinska:
Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), Lviv, Ukraine, November 11-13, 2019. CEUR Workshop Proceedings 2488, CEUR-WS.org 2019 [contents] - 2018
- [j1]Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk:
Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data 3(4): 46 (2018) - [c7]Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu:
Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. DSMP 2018: 386-391 - [c6]Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal:
Non-iterative Neural-like Predictor for Solar Energy in Libya. ICTERI 2018: 35-45 - [c5]Ihor Oleksiv, Ivan Izonin, Viktoriya Kharchuk, Roman Tkachenko, Anastasiia Doroshenko:
Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region. ICTERI 2018: 429-437 - [c4]Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Valentyna Chopyak, Nataliia Lotoshynska, Dmytro Danylyuk:
Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure. IDDM 2018: 170-179 - [e1]Nataliya Shakhovska, Sergio Montenegro, Yannick Estève, Sergey Subbotin, Natalia Kryvinska, Ivan Izonin:
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), Lviv, Ukraine, November 28-30, 2018. CEUR Workshop Proceedings 2255, CEUR-WS.org 2018 [contents] - 2016
- [c3]Dmytro Peleshko, Yuriy Ivanov, Boris Sharov, Ivan Izonin, Yuriy Borzov:
Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes. DSMP 2016: 159-162 - [c2]Dmytro Peleshko, Taras Rak, Marta Peleshko, Ivan Izonin, Danylo Batyuk:
Two-frames image superresolution based on the aggregate divergence matrix. DSMP 2016: 235-238 - 2015
- [c1]Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk:
Learning-based image super-resolution using weight coefficients of synaptic connections. CSIT 2015: 25-29
Coauthor Index
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last updated on 2024-10-31 21:06 CET by the dblp team
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